Dispersion Calculator

Find measures of spread: range, variance, SD and CV.

Sample SD 7.906
Sample variance 62.5
Coefficient of variation (%) 52.705
Range 20

Formula: Range, variance, SD and CV from the data

Step-by-step with your numbers:
1. Values used:
2. Value 1 = 5
3. Value 2 = 10
4. Value 3 = 15
5. Value 4 = 20
6. Value 5 = 25
7.
8. Sample SD = 7.906
9. Sample variance = 62.5
10. Coefficient of variation = 52.705%
11. Range = 20
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Dispersion describes how spread out a data set is, in several ways at once.

How the Math Works

The Dispersion Calculator uses mathematical formulas to quantify how spread out a dataset is. Range is calculated by subtracting the smallest value from the largest. Variance measures the average squared deviation from the mean, computed by summing each data point's squared difference from the mean and dividing by the number of observations (or n-1 for sample variance). Standard Deviation (SD) is the square root of variance, returning the measure to the original data units. Coefficient of Variation (CV) is SD divided by the mean, often expressed as a percentage, allowing comparison of variability across datasets with different scales.

Practical Applications

This calculator is essential for data analysts, researchers, and quality control professionals who need to assess variability in datasets. For example, a manufacturer might use variance and SD to monitor production consistency, while a financial analyst could apply CV to compare risk across investments with different returns. In education, teachers might analyze test score dispersion to identify students needing additional support, using range to quickly gauge the spread of results.

Day-to-Day Use

Understanding dispersion helps in everyday decision-making, such as evaluating product reliability (e.g., checking if a car's fuel efficiency varies significantly) or personal health metrics (e.g., determining if daily step counts are consistent). Athletes might use SD to track performance consistency, while shoppers could apply these concepts when comparing price variations of products. By revealing patterns hidden in averages, dispersion metrics empower smarter choices in daily life.

Worked example

5, 10, 15, 20, 25 โ†’ SD โ‰ˆ 7.91, CV โ‰ˆ 52.7%.

FAQ

Which measure should I use?

SD for absolute spread; CV to compare variability across different scales.